Deployed end-to-end ML pipelines on AWS SageMaker using XGBoost for fare prediction and Facebook Prophet for demand forecasting, achieving reduced error rates.
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Updated
Dec 15, 2025 - Jupyter Notebook
Deployed end-to-end ML pipelines on AWS SageMaker using XGBoost for fare prediction and Facebook Prophet for demand forecasting, achieving reduced error rates.
Full stack Generative AI Audio App which uses RAG architecture to enhance user prompt to generate audio. Java, Spring Boot, LangChain, HuggingFace, PineCone, AWS BedRock, AWSSageMaker, JavaScript
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